Viewing profile — sdallagasperina

I see the LLM not as the one giving direct commands, but as suggesting a path. An arbitration layer should always check whether that suggestion is safe, and if it isn’t, the system…

Great point, I believe safety has to be layered. The real challenge is deciding which agent is responsible for judging whether a command is safe to execute. For instance, MCP could…

Thanks for the comment! We see the future of human–robot collaboration as being closely tied to how LLMs can translate verbal instructions into higher-level, longer-horizon command…

Exactly! With MCP, we’ve started to imagine a workflow where instead of digging through logs, you just ask “why isn’t the robot responding?” and get guided through the diagnostics.…

This is a huge point. Even if you write the perfect kernel, the reality is that XR hardware is tied up in vendor drivers and NDAs. Without access to those, you end up reinventing t…

I had the same reaction! “legacy baggage” is a vague phrase. Without examples (like specific subsystems or bottlenecks), it’s hard to see how a custom kernel helps XR more than exi…

Really ambitious project, but I’m not convinced building a brand-new kernel is the best way to tackle XR. The hardest problems in AR/VR usually aren’t about the OS itself, but abou…

The price point is definitely interesting: $3k without compute feels high if you compare it to hobbyist kits, but I think the target here is more for researchers/early-stage startu…

Great question! I’m one of the collaborators on the project. Right now, the MCP server doesn’t “correct” hallucinations itself, but it enforces a strict tool interface: the LLM can…